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Source channel @githubtrending · Post #15062 · Aug 15

#python#mllm#point_clouds#scene_understanding#spatial_intelligence SpatialLM is a powerful 3D language model that turns complex 3D point cloud data from videos, RGBD images, or LiDAR into clear, structured 3D scene layouts showing walls, doors, windows, and objects with labels. It works without needing special equipment and can detect user-specified object categories. This helps you understand and analyze indoor spaces better, useful for robotics, navigation, and 3D design. You can run it on your data, visualize results, and even customize detection tasks easily, making 3D scene understanding more accessible and flexible for many applications. https://github.com/manycore-research/SpatialLM

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@rushousebrussels · Post #2085 · 08/27/2024, 01:19 PM

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🔊Sound on ☕ please, repeat Привет! Tired of learning Russian? Great news for you today then: we have thousands of words that are similar to English ones! Let’s start with those relating to food! Notice that the pronunciation is not always similar, so watch out for those accents! Still, learning Russian versions of the words you already know is far easier than learning absolutely new ones 🙂 That’s not the end of the list! Do you have any more examples? Drop them down in the comments! 👇🏼 Credits: Westend61, Aleksandr Kuzmin, Martin Barraud, serggn, Chris Stein, Halfdark/Getty Images Sourse: Russia Beyond https://t.me/russiabeyond/8927 #russianclasses#russianbeyond#РусскийДом#RussianHouse#Образование#КРЯ#brussels#belgium#educationrussia#RussianHouseBrussels#russianlanguagecoursesbrussels#russianlanguage#learnrussian#studyrussian

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